{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CSDN AI工程师直通车第一周作业"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据说明： Capital Bikeshare （美国Washington, D.C.的一个共享单车公司）提供的共享单车数据。数据包含每天的日期、天气等信息，需要预测每天的共享单车骑行量。\n",
    "\n",
    "批改标准\n",
    "1. 对数据做数据探索分析（可参考EDA_BikeSharing.ipynb，不计分） \n",
    "2. 适当的特征工程（可参考FE_BikeSharing.ipynb，不计分） \n",
    "3. 对全体数据，随机选择其中80%做训练数据，剩下20%为测试数据，评价指标为RMSE。（10分） \n",
    "4. 用训练数据训练最小二乘线性回归模型（20分）、岭回归模型、Lasso模型，其中岭回归模型（30分）和Lasso模型（30分）需采用5折交叉验证得到最佳正则超参数。 \n",
    "5. 比较用上述三种模型得到的各特征的系数，以及各模型在测试集上的性能。并简单说明原因。（10分） "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入必要的工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据读取以及基本处理\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# 可视化\n",
    "import seaborn as sn\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 参数设置\n",
    "params = {\n",
    "              'figure.figsize': (30, 10)\n",
    "              }\n",
    "\n",
    "sn.set_style('whitegrid')\n",
    "sn.set_context('talk')\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "pd.options.display.max_colwidth = 600"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 读入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source = pd.read_csv('day.csv')\n",
    "source.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "查看数据信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      "instant       731 non-null int64\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.5+ KB\n"
     ]
    }
   ],
   "source": [
    "source.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "共731条数据, 每条数据有16列, 没有数据缺失."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 对数据值型特征, 用常用统计量观察其分布\n",
    "source.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "season 属性的不同取值和出现的次数\n",
      "3    188\n",
      "2    184\n",
      "1    181\n",
      "4    178\n",
      "Name: season, dtype: int64\n",
      "mnth 属性的不同取值和出现的次数\n",
      "12    62\n",
      "10    62\n",
      "8     62\n",
      "7     62\n",
      "5     62\n",
      "3     62\n",
      "1     62\n",
      "11    60\n",
      "9     60\n",
      "6     60\n",
      "4     60\n",
      "2     57\n",
      "Name: mnth, dtype: int64\n",
      "holiday 属性的不同取值和出现的次数\n",
      "0    710\n",
      "1     21\n",
      "Name: holiday, dtype: int64\n",
      "weekday 属性的不同取值和出现的次数\n",
      "6    105\n",
      "1    105\n",
      "0    105\n",
      "5    104\n",
      "4    104\n",
      "3    104\n",
      "2    104\n",
      "Name: weekday, dtype: int64\n",
      "workingday 属性的不同取值和出现的次数\n",
      "1    500\n",
      "0    231\n",
      "Name: workingday, dtype: int64\n",
      "weathersit 属性的不同取值和出现的次数\n",
      "1    463\n",
      "2    247\n",
      "3     21\n",
      "Name: weathersit, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 对类别型特征, 观察其取值范围和直方图.\n",
    "categorical_features = ['season', 'mnth', 'holiday', 'weekday', 'workingday', 'weathersit']\n",
    "for col in categorical_features:\n",
    "    print(col, '属性的不同取值和出现的次数')\n",
    "    print(source[col].value_counts())\n",
    "    source[col] = source[col].astype('object')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 每年的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f45aea48f60>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.violinplot(data=source[['yr', 'cnt']], x=\"yr\", y=\"cnt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2011年和2012年的分布差异很大"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 一年中每天的骑车量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'daily distribution of counts')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "source['date'] = pd.to_datetime(source['dteday'])\n",
    "source['dayofyear'] = source['date'].dt.dayofyear\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "sn.pointplot(data=source[['dayofyear', 'cnt', 'yr']], x='dayofyear', y='cnt', hue='yr', ax=ax)\n",
    "ax.set(title='daily distribution of counts')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "相邻天的骑车数目好像不是特别连续，可以不考虑增加时序特征（y_(t-1) - y_(t-2)...）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 季节与汽车数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Seasonly distribution of counts')]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sn.barplot(data=source[['season', 'cnt']], x=\"season\", y=\"cnt\")\n",
    "ax.set(title=\"Seasonly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "不同季节骑行数有明显差异"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 月份与骑车数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Monthly distribution of counts')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sn.barplot(data=source[['mnth', 'cnt']], x='mnth', y='cnt')\n",
    "ax.set(title='Monthly distribution of counts')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可见月份与骑车数量的关系与季节有一定相关性"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 天气与骑车数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'weathersit distribution of counts')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sn.barplot(data=source[['weathersit', 'cnt']], x='weathersit', y='cnt')\n",
    "ax.set(title='weathersit distribution of counts')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "天气月越差骑行数量越少"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 工作日和节假日的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f45a80b4908>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(ncols=2)\n",
    "sn.barplot(data=source, x='holiday', y='cnt', hue='season', ax=ax1)\n",
    "sn.barplot(data=source, x='workingday', y='cnt', hue='season', ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f45a3f417b8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrmatt = source[['temp', 'atemp', 'hum', 'windspeed', 'cnt']].corr()\n",
    "mask = np.array(corrmatt)\n",
    "mask[np.tril_indices_from(mask)] = False\n",
    "sn.heatmap(corrmatt, mask=mask, vmax=1, square=True, annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "骑行数量cnt与温度temp和体感温度atemp正相关且相关度较高，与湿度hum风速windspeed负相关，另外temp与atemp强相关属于冗余特征。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征工程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  season  yr mnth holiday workingday weathersit     atemp       hum  \\\n",
       "0      1   0    1       0          0          2  0.363625  0.805833   \n",
       "1      1   0    1       0          0          2  0.353739  0.696087   \n",
       "2      1   0    1       0          1          1  0.189405  0.437273   \n",
       "3      1   0    1       0          1          1  0.212122  0.590435   \n",
       "4      1   0    1       0          1          1  0.229270  0.436957   \n",
       "\n",
       "   windspeed   cnt  \n",
       "0   0.160446   985  \n",
       "1   0.248539   801  \n",
       "2   0.248309  1349  \n",
       "3   0.160296  1562  \n",
       "4   0.186900  1600  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 丢掉一些不必要的特征\n",
    "\n",
    "source = source.drop('casual',axis=1).drop('registered',axis=1)\n",
    "\n",
    "# 丢掉一些不必要的特征\n",
    "source = source.drop('instant',axis=1)\n",
    "source = source.drop('dteday',axis=1) # 日期与输出y无关\n",
    "source = source.drop('weekday',axis=1) # 节假日、工作日对输出y影响重要，weekday意义不大\n",
    "\n",
    "# 两温度，相关性太强，取其一\n",
    "source = source.drop('temp',axis=1)\n",
    "\n",
    "# 删除日期\n",
    "source = source.drop('date', axis=1).drop('dayofyear', axis=1)\n",
    "\n",
    "# 用于后续显示权重系数对应的特征\n",
    "columns = source.columns\n",
    "\n",
    "source.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据集拆分\n",
    "随机选择20%作为测试集，其余作为训练集。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/sklearn/externals/joblib/_multiprocessing_helpers.py:38: UserWarning: [Errno 12] Cannot allocate memory.  joblib will operate in serial mode\n",
      "  warnings.warn('%s.  joblib will operate in serial mode' % (e,))\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(584, 9)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 分离输入特征x和输出y\n",
    "y = source['cnt'].values\n",
    "x = source.drop('cnt', axis=1)\n",
    "\n",
    "#用于后续显示权重系数对应的特征\n",
    "columns = x.columns\n",
    "\n",
    "#将数据分割训练数据与测试数据\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 随机采样20%的数据构建测试样本，其余作为训练样本\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, random_state=33, test_size=0.2)\n",
    "x_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/python3/lib/python3.7/site-packages/ipykernel_launcher.py:21: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/usr/local/python3/lib/python3.7/site-packages/ipykernel_launcher.py:22: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/usr/local/python3/lib/python3.7/site-packages/ipykernel_launcher.py:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/usr/local/python3/lib/python3.7/site-packages/ipykernel_launcher.py:25: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/usr/local/python3/lib/python3.7/site-packages/ipykernel_launcher.py:26: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/usr/local/python3/lib/python3.7/site-packages/ipykernel_launcher.py:27: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/Swing/.local/lib/python3.7/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/home/Swing/.local/lib/python3.7/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/home/Swing/.local/lib/python3.7/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n",
      "/home/Swing/.local/lib/python3.7/site-packages/sklearn/utils/validation.py:590: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.833255</td>\n",
       "      <td>0.139404</td>\n",
       "      <td>1.182272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.618628</td>\n",
       "      <td>-0.469409</td>\n",
       "      <td>0.095785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.498855</td>\n",
       "      <td>0.933754</td>\n",
       "      <td>-1.428524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-2.119588</td>\n",
       "      <td>-1.289859</td>\n",
       "      <td>2.252578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.102342</td>\n",
       "      <td>1.012030</td>\n",
       "      <td>-0.966358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    season  yr mnth holiday workingday weathersit     atemp       hum  \\\n",
       "630      3   1    9       0          0          1  0.833255  0.139404   \n",
       "192      3   0    7       0          1          1  1.618628 -0.469409   \n",
       "275      4   0   10       0          1          2 -0.498855  0.933754   \n",
       "367      1   1    1       0          1          1 -2.119588 -1.289859   \n",
       "296      4   0   10       0          1          1 -0.102342  1.012030   \n",
       "\n",
       "     windspeed  \n",
       "630   1.182272  \n",
       "192   0.095785  \n",
       "275  -1.428524  \n",
       "367   2.252578  \n",
       "296  -0.966358  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据标准化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# 分别初始化对特征和目标值的标准化器\n",
    "ss_x = StandardScaler()\n",
    "ss_y = StandardScaler()\n",
    "\n",
    "# 分别对训练和测试数据的特征以及目标值进行标准化处理\n",
    "\n",
    "x_num_features = ['atemp','hum','windspeed']\n",
    "\n",
    "x_train_num = x_train[x_num_features]\n",
    "x_test_num = x_test[x_num_features]\n",
    "\n",
    "x_train_num_temp = ss_x.fit_transform(x_train_num)\n",
    "x_text_num_temp = ss_x.transform(x_test_num)\n",
    "\n",
    "x_train_num = pd.DataFrame(data=x_train_num_temp, columns=x_num_features, index=x_train_num.index)\n",
    "x_test_num = pd.DataFrame(data=x_text_num_temp, columns=x_num_features, index=x_test_num.index)\n",
    "\n",
    "x_train['atemp'] = x_train_num['atemp']\n",
    "x_train['hum'] = x_train_num['hum']\n",
    "x_train['windspeed'] = x_train_num['windspeed']\n",
    "\n",
    "x_test['atemp'] = x_test_num['atemp']\n",
    "x_test['hum'] = x_test_num['hum']\n",
    "x_test['windspeed'] = x_test_num['windspeed']\n",
    "\n",
    "\n",
    "\n",
    "#对y做标准化不是必须\n",
    "#对y标准化的好处是不同问题的w差异不太大，同时正则参数的范围也有限\n",
    "y_train = ss_y.fit_transform(y_train.reshape(-1, 1))\n",
    "y_test = ss_y.fit_transform(y_test.reshape(-1, 1))\n",
    "\n",
    "x_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 线性回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.2705082162699442]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yr</td>\n",
       "      <td>[1.0566504019020404]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[-0.02319769428270191]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.2220776887392746]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>workingday</td>\n",
       "      <td>[0.09510953608929158]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.34039662700615725]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>atemp</td>\n",
       "      <td>[0.4850986827309454]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.07046188683498743]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.08688424281059808]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      columns                    coef\n",
       "0      season    [0.2705082162699442]\n",
       "1          yr    [1.0566504019020404]\n",
       "2        mnth  [-0.02319769428270191]\n",
       "3     holiday   [-0.2220776887392746]\n",
       "4  workingday   [0.09510953608929158]\n",
       "5  weathersit  [-0.34039662700615725]\n",
       "6       atemp    [0.4850986827309454]\n",
       "7         hum  [-0.07046188683498743]\n",
       "8   windspeed  [-0.08688424281059808]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "# 使用默认参数初始化\n",
    "lr = LinearRegression()\n",
    "\n",
    "# 训练模型参数\n",
    "lr.fit(x_train, y_train)\n",
    "\n",
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "liner_fs = pd.DataFrame({\"columns\":list(columns), \"coef\":list((lr.coef_.T))})\n",
    "liner_fs.sort_values(by=['coef'],ascending=False)\n",
    "liner_fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The RMSE of LinerRegression on test is 0.42985223826989016\n",
      "The RMSE of LinerRegression on train is 0.46187320878846916\n"
     ]
    }
   ],
   "source": [
    "# 预测\n",
    "y_test_pred_lr = lr.predict(x_test)\n",
    "y_train_pred_lr = lr.predict(x_train)\n",
    "\n",
    "# 使用RMSE评价模型在测试机和训练集上的性能, 并输出评估结果\n",
    "print('The RMSE of LinerRegression on test is', np.sqrt(mean_squared_error(y_test, y_test_pred_lr)))\n",
    "print('The RMSE of LinerRegression on train is', np.sqrt(mean_squared_error(y_train, y_train_pred_lr)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 岭回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>season</td>\n",
       "      <td>[0.2694371377487563]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yr</td>\n",
       "      <td>[1.0493717399059945]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mnth</td>\n",
       "      <td>[-0.02286352171860297]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>holiday</td>\n",
       "      <td>[-0.20800859841017555]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>workingday</td>\n",
       "      <td>[0.09556381099089567]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>[-0.33730305103987895]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>atemp</td>\n",
       "      <td>[0.4849492979388375]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hum</td>\n",
       "      <td>[-0.0717712078513729]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>[-0.08733017762774305]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      columns                    coef\n",
       "0      season    [0.2694371377487563]\n",
       "1          yr    [1.0493717399059945]\n",
       "2        mnth  [-0.02286352171860297]\n",
       "3     holiday  [-0.20800859841017555]\n",
       "4  workingday   [0.09556381099089567]\n",
       "5  weathersit  [-0.33730305103987895]\n",
       "6       atemp    [0.4849492979388375]\n",
       "7         hum   [-0.0717712078513729]\n",
       "8   windspeed  [-0.08733017762774305]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import RidgeCV\n",
    "\n",
    "alphas = [0.01,0.1,1,10,100]\n",
    "# cv=5 采用五折交叉验证\n",
    "ridge = RidgeCV(alphas=alphas, cv=5,  store_cv_values=False)\n",
    "ridge.fit(x_train, y_train)\n",
    "\n",
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "ridge_fs = pd.DataFrame({\"columns\":list(columns), \"coef\":list((ridge.coef_.T))})\n",
    "ridge_fs.sort_values(by=['coef'],ascending=False)\n",
    "ridge_fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The RMSE of RidgeCV on test is 0.4298028008167909\n",
      "The RMSE of RidgeCV on train is 0.4618950822908086\n"
     ]
    }
   ],
   "source": [
    "# 预测\n",
    "y_test_pred_ridge = ridge.predict(x_test)\n",
    "y_train_pred_ridge = ridge.predict(x_train)\n",
    "\n",
    "# 使用RMSE评价模型在测试机和训练集上的性能, 并输出评估结果\n",
    "print('The RMSE of RidgeCV on test is', np.sqrt(mean_squared_error(y_test, y_test_pred_ridge)))\n",
    "print('The RMSE of RidgeCV on train is', np.sqrt(mean_squared_error(y_train, y_train_pred_ridge)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lasso回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/Swing/.local/lib/python3.7/site-packages/sklearn/linear_model/coordinate_descent.py:1108: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>columns</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>season</td>\n",
       "      <td>0.239957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yr</td>\n",
       "      <td>1.018822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mnth</td>\n",
       "      <td>-0.014395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>holiday</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>workingday</td>\n",
       "      <td>0.068334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weathersit</td>\n",
       "      <td>-0.306837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>atemp</td>\n",
       "      <td>0.486180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hum</td>\n",
       "      <td>-0.071229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>-0.080447</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      columns      coef\n",
       "0      season  0.239957\n",
       "1          yr  1.018822\n",
       "2        mnth -0.014395\n",
       "3     holiday -0.000000\n",
       "4  workingday  0.068334\n",
       "5  weathersit -0.306837\n",
       "6       atemp  0.486180\n",
       "7         hum -0.071229\n",
       "8   windspeed -0.080447"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LassoCV\n",
    "\n",
    "alphas = [0.01,0.1,1,10,100]\n",
    "# cv=5 采用五折交叉验证\n",
    "lasso = LassoCV(alphas=alphas, cv=5)\n",
    "lasso.fit(x_train, y_train)\n",
    "\n",
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "lasso_fs = pd.DataFrame({\"columns\":list(columns), \"coef\":list((lasso.coef_.T))})\n",
    "lasso_fs.sort_values(by=['coef'],ascending=False)\n",
    "lasso_fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The RMSE of LassoCV on test is 0.4333765319352313\n",
      "The RMSE of LassoCV on train is 0.46490547208221633\n"
     ]
    }
   ],
   "source": [
    "# 预测\n",
    "y_test_pred_lasso = lasso.predict(x_test)\n",
    "y_train_pred_lasso = lasso.predict(x_train)\n",
    "\n",
    "# 使用RMSE评价模型在测试机和训练集上的性能, 并输出评估结果\n",
    "print('The RMSE of LassoCV on test is', np.sqrt(mean_squared_error(y_test, y_test_pred_lasso)))\n",
    "print('The RMSE of LassoCV on train is', np.sqrt(mean_squared_error(y_train, y_train_pred_lasso)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以上三种模型当中, 线性回归模型和岭回归模型得到的各特征系数很相似, 而Lasso回归得到的特征系数与另外两个有较大的区别, 其中holiday特征的系数为0, 因为Lasso回归会趋向于产生少量的特征，而其他的特征都是0, 在特定的约束下某些特征会被约束为0, 起到特征选择的效果.\n",
    "\n",
    "根据RMSE评价标准来看三种模型的性能差别并不大, 其中岭回归模型性能会稍微好一些."
   ]
  }
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